poweRlaw 0.70.6-foss-2019b-R-3.6.2

An implementation of maximum likelihood estimators for a variety of heavy tailed distributions, including both the discrete and continuous power law distributions. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.

Accessing poweRlaw 0.70.6-foss-2019b-R-3.6.2

To load the module for poweRlaw 0.70.6-foss-2019b-R-3.6.2 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load poweRlaw/0.70.6-foss-2019b-R-3.6.2

BEAR Apps Version

2019b

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

• poweRlaw 0.70.6

More Information

For more information visit the poweRlaw website.

Dependencies

This version of poweRlaw has a direct dependency on: foss/2019b R/3.6.2-foss-2019b

Last modified on 21st September 2020